In the Media

Research Scientist Judah Cohen joins Fox News to discuss the potential for a historic, massive polar vortex disruption, or early season weakening, that “could send atmospheric impacts rippling across the planet in the weeks or even months to come.” Cohen says, “this will, I think almost undoubtedly, be the largest, earliest disruption of the polar vortex on record. What the impacts could be on a regional basis is really hard to know. Everything is possible. Traditionally it [the disruption] is thought to bring colder and snowier weather to the eastern U.S. about two weeks after the event kind of peaks, but in recent history that has not been the case.”  

Prof. Suraj Cheema joins Edgar B. Herwick, host of GBH’s “The Curiosity Desk,” to discuss the functionality and global development of computer chips. “The know-how of how to make these chips is very specialized,” says Cheema. “Imagine there’s 100 steps in the process, not just that printer that costs a few $100 million, just all these other kinds of steps that go along with it. We have 20 million transistors in this little chip. We want them all to work. They all have to work [for the chip to function].”  

Prof. Gary Gensler speaks with “Bloomberg Surveillance” hosts Tom Keene and Paul Sweeney about how the current AI investment boom may impact the U.S. economy. “You can be positive about the technology and still say our capital markets tend to overfund in exuberance,” says Gensler. “I think that we will have a deceleration of this AI boom, and then some form of a reversal in the next 18 to 30 months. And the question really, to me, is a little bit about timing: when and then how deep it [the deceleration] is. I think the depth of it is going to be dependent on how much debt is in the system, where it is [and] who holds it.”  

Senior Research Scientist Joseph Coughlin, director of the MIT AgeLab discusses generational differences in aging and achieving life milestones for a Fortune article by reporter Nick Lichtenberg. Currently, “we’re creating new life stages, or we’re extending life stages that used to be done in short order,” says Coughlin. “The real generation gap is about expectations. Not only do [generations] expect to live longer, but they expect to live better.” 

Undergraduate student Melody Chen, a former MIT Research Science Institute Scholar, has been named in the 2026 class of U.S. Presidential Scholars, writes Forbes’ Michael T. Nietzel. “This year’s group consists of 161 outstanding high school seniors, who were selected for their accomplishments in academics, the arts, and career and technical education fields as well as for commitments to community service and leadership,” notes Nietzel. “Being named a U.S. Presidential Scholar is considered one of the nation’s most prestigious academic awards for high school graduates.”  

Prof. Eric Klopfer, co-chair of MIT’s Ad Hoc Committee on AI Use in Teaching, Learning, and Research Training, speaks with Newsweek’s Amanda Greenwood and Hollie Silverman about homework in an era of AI. “Students need experience to understand and regulate their AI behaviors,” says Klopfer. “They need to learn how it can augment, rather than replace, their learning, and decide how to use it.”  

The Boston Globe’s Mark Feeney spotlights the “Bounce juggler (W.C. Fields),” a machine modeled after the comedian W.C. Fields, on display at the MIT Museum, that juggles three metal balls and was created by the late Prof. Claude Shannon SM ’40, PhD ’40. “It’s one thing to be known as ‘the father of information theory,’ as Shannon is. His work in mathematics, electrical engineering, cryptography, and computer science was that important,” writes Feeney. “But Shannon was also a chess player, unicyclist, juggler, and inventor. Shannon combined his talent for engineering and imagination with his love of humor and juggling in the ‘Bounce juggler.’”  

Prof. Charles Stewart III, director of MIT’s Election Data and Science Lab, speaks to NPR’s “Morning Edition” about the surge in early voting among Americans in the midterm elections. The surge is reflecting “the enthusiasm of voters, but also, I think it has to be understood that a lot of this activity is also generated by the campaigns, getting out and motivating their voters to get to the polls or to return their mail-in-ballots,” says Stewart. “The political science research suggests that people who are voting early would have voted on Election Day had that mode not been available to them.” 

Forbes reporter Marshall Shepherd highlights the Probabilistic Bias Correction tool, a new AI system developed by MIT researchers that could extend weather forecasting predictability beyond two weeks.  

In an interview with The Boston Globe’s Rebecca Spiess, Prof. Eric So discusses how AI affects different areas of human cognition, as detailed in his new book “The Collision: What AI Does to Us.” “So many people these days are just really focused on the productivity benefits of AI and what it can do for us. I think what people really should be thinking about is what AI is doing to us in the immediate term,” says So. “AI is changing who we are as thinkers, right now, in our day-to-day lives; in classrooms; in households; in boardrooms across the globe.” 

Prof. Tod Machover speaks to WBUR’s Andrea Shea about “already and not yet” an interactive composition he wrote for the Boston Symphony Orchestra and an AI instrument developed by Machover and graduate student Manaswi Mishra. Machover explains that they designed the AI tools so that they’re “always going to make a kind of variation, a coloration, an extension of what the musician's playing – but exactly what it's going to do I do not have complete control over. I'm trying to show that it [AI] can be integrated in a beautiful, provocative and interesting way in a serious piece of music.”  

Prof. Tod Machover’s composition “already and not yet,” was performed by members of the Boston Symphony Orchestra along with an AI system that listens to musicians and adds improvisations, reports A.Z. Madonna for The Boston Globe. “Music is something that’s meant to plumb your soul, and have you discover things,” says Machover. The composition is “about my view of where we are, how to take a deep breath and figure out, gather strength to go somewhere else, and then what a possible future of democracy might be.”  

Instead of giving AI agents a specific task, MIT researchers put 13 agents, named Eko, alone on a digital desert island for 30 hours, and witnessed the technology playing instead of simply wandering around, writes Fast Company’s Jude Cramer. “The researchers compared Eko’s behavior to common elements of play in animals, including humans,” notes Cramer. “These signs of play include creating their own rules, repeating behaviors with slight variations, setting goals for themselves, and transforming objects and events through make-believe.” 

After observing the behavior of 13 AI agents on a simulated desert island, MIT researchers suggest that allowing agents to explore “without a goal” could be an effective way to teach AI agents new skills, reports Aditya Mehta for TechCrunch. “We normally develop artificial agents by deciding in advance what they should practice, what they should optimize, and what counts as progress,” the researchers write. “Play suggests another regime: give an agent a sufficiently rich and safe world, let it choose what is interesting, and allow useful knowledge to accumulate from the history that follows.” 

Flapping Airplanes, a startup co-founded by Benjamin Spector ’22, MEng ’22, has developed a framework for AI models to run efficiently while being trained on less data and in a single graphics processing unit (GPU), writes Julie Bort for TechCrunch. The framework “can run a task that spends most of its time waiting for data to be fetched alongside one that spends most of its time doing math, so the chip is rarely sitting idle,” notes Bort. “The premise is that AI has barely scratched the surface of what GPUs can do, and they believe it can create intelligent systems ‘without ingesting half the internet.’”